2015
DOI: 10.1016/j.cej.2015.05.130
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Characterization of the upward motion of an object immersed in a bubbling fluidized bed of fine particles

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Cited by 16 publications
(8 citation statements)
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“…In the past two decades, different non-invasive techniques have been developed to gain a deeper understanding of the interaction between fluidized bed and a relatively large freely moving particle. The most common methods are particle image velocimetry (PIV) [33,34], pressure signal analysis [22,35], radioactive particle tracking (RPT) [36][37][38][39], magnetic particle tracking (MPT) [15,32,40,41] and Lagrangian sensor system [42]. Most of these studies were carried out at ambient conditions using sensors or tracers to mimic the behaviour of a moving feedstock particle within the fluidized bed or investigating the hydrodynamic behaviour of the bed itself.…”
Section: Introductionmentioning
confidence: 99%
“…In the past two decades, different non-invasive techniques have been developed to gain a deeper understanding of the interaction between fluidized bed and a relatively large freely moving particle. The most common methods are particle image velocimetry (PIV) [33,34], pressure signal analysis [22,35], radioactive particle tracking (RPT) [36][37][38][39], magnetic particle tracking (MPT) [15,32,40,41] and Lagrangian sensor system [42]. Most of these studies were carried out at ambient conditions using sensors or tracers to mimic the behaviour of a moving feedstock particle within the fluidized bed or investigating the hydrodynamic behaviour of the bed itself.…”
Section: Introductionmentioning
confidence: 99%
“…These theoretical values were calculated using the well−known correlations of Davidson and Harrison [40] and Kunii and Levenspiel [1], for the bubbles and the dense phase velocity, respectively, using the same operating values of the bed as in the experiments (see Table 1). Further details on the calculation of the bubbles and dense phase velocities can be found in [6,7,9]. Figure 5 shows the results of the fuel particle velocity for the experiments and the simulations with and without the wall−friction term.…”
Section: Time Scale Resultsmentioning
confidence: 99%
“…Figure 5 shows the results of the fuel particle velocity for the experiments and the simulations with and without the wall−friction term. In Figure 5a, the fuel rising velocity was related to the 20% [6,7] of the bubble velocity and the fuel sinking velocity was compared to the dense phase downwards velocity [6,9]. The sinking velocity depicted in Figure 5b was obtained by removing from the data analysis the downwards velocity associated to the vibration of the fuel particles in their sinking path, according to Soria-Verdugo et al [6].…”
Section: Time Scale Resultsmentioning
confidence: 99%
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“…The mixing of fuel particles in three-dimensional fluidized beds has been studied using a wide variety of experimental techniques, such as radioactive tracers [16,17], dry ice sublimation [18,19], magnetic tracer-particles [20], moisture released [21] and digital image analysis of the bed surface [22][23][24]. Concerning the mixing of fuel particles in pseudo-2D beds, the experimental techniques include emission of CO2 by carbon-loaded porous particles [25], magnetic particle tracking [26], and digital image analysis of phosphorescent particles [27]: strontium aluminate covered particles [28][29][30] or simply larger particles that could be distinguished from the dense phase [16,31].…”
Section: Introductionmentioning
confidence: 99%